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200 MasterCard Jobs

Manager, Data Scientist

10-12 years

Gurgaon / Gurugram

1 vacancy

Manager, Data Scientist

MasterCard

posted 2mon ago

Job Description

Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard
Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases
Gather relevant information to define the business problem interfacing with global stakeholders
Creative thinker capable of linking AI methodologies to identified business challenges
Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models
Develop AI/ML solutions/applications leveraging the latest industry and academic advancements
Leverage open and closed source technologies to solve business problems
Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda
Partner with technical teams to implement developed solutions/applications in production environment
Support a learning culture continuously advancing AI capabilities

All About You

Experience
8+ years of experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch
Demonstrated passion for AI competing in sponsored challenges such as Kaggle
Previous experience with or exposure to:
oDeep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL
oBig Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning
oClassical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil
oDeep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks - Feedforward, CNN, LSTM s GRU s is a plus. Optimization techniques - Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets - Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing
oDeep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus
Exposure or experience using collaboration tools such as:
oConfluence (Documentation)
oBitbucket/Stash (Code Sharing)
oShared Folders (File Sharing)
oALM (Project Management)
Knowledge of payments industry a plus
Experience with SAFe (Scaled Agile Framework) process is a plus

Effectiveness
Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum
Capable of navigating a complex organization in a relentless pursuit of answers and clarity
Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organizations effectiveness
Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation
Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment
Incredible attention to detail and focus instilling confidence without qualification in developed solutions

Core Capabilities
Strong written and oral communication skills
Strong project management skills
Concentration in Computer Science
Some international travel required

Employment Type: Full Time, Permanent

Read full job description

MasterCard Interview Questions & Tips

Prepare for MasterCard Data Scientist roles with real interview advice

Top MasterCard Data Scientist Interview Questions

Q1. Longest Palindromic Subsequence Problem Statement Given a string A consisting of lowercase English letters, determine the length of the lon ... read more
Q2. Word Pattern Problem Statement Given two strings S and T , determine if S follows the same pattern as T . A full match means there is a bij ... read more
Q3. Palindrome String Validation Determine if a given string 'S' is a palindrome, considering only alphanumeric characters and ignoring spaces ... read more
View all 110 questions

What people at MasterCard are saying

4.2
 Rating based on 7 Data Scientist reviews

Likes

Getting the knowledge of transactional data and work life balance

  • Salary - Good
  • +4 more
Dislikes

Something leadership isn't help to grow

Read 7 Data Scientist reviews

Data Scientist salary at MasterCard

reported by 57 employees with 1-6 years exp.
₹12.1 L/yr - ₹33 L/yr
66% more than the average Data Scientist Salary in India
View more details

What MasterCard employees are saying about work life

based on 724 employees
87%
92%
80%
78%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

MasterCard Benefits

Work From Home
Health Insurance
Cafeteria
Gymnasium
Education Assistance
Soft Skill Training +6 more
View more benefits

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